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| Criterion |  DevOps ChatOps |  Delivery Monte Carlo Forecasting |  Operations 5 Whys |  Delivery Value Stream Mapping |
|---|---|---|---|---|
Purposedifferent | For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come together. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | Ongoing | 30-90 min Setup, danach laufend | 15-30 min | 1-3 h |
Participantsdifferent | 2-20 | 1-8 | 2-6 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Chat Transcript, Action Log, Automations | Forecast Percentiles, Throughput Dataset, Risk Communication | Root cause notes, Countermeasures | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | CollaborationEngineeringIncident | ForecastingFlowDelivery | Root causeIncidentLeanProblem solving | LeanFlowWasteDelivery |